K. Singh, P. Singh and K. Kumar, "A systematic review of IP traceback schemes for denial of service attacks", Computers and Security, Vol. 56, pp. 111-139, 2016. [Access Article]

K. Singh, P. Singh and K. Kumar, "Application layer HTTP-GET flood DDoS attacks: Research landscape and challenges", Computers and Security, Vol. 65, pp. 344-372, 2017. [Access Article]

K. Singh, P. Singh and K. Kumar, "User behavior analytics-based classification of application layer HTTP-GET flood attacks", Journal of Network and Computer Applications, Vol. 112, pp. 97-114, 2018. [Access Article]

K. Singh, P. Singh and K. Kumar, "Impact Analysis of Application Layer DDoS Attacks on Web Services: A Simulation Study", International Journal of Intelligent Engineering Informatics, Vol. 5, pp. 80-100, 2017. [Access Article]

P. Singh and K. Singh, "Exploring Automatic Search in Digital Libraries – A Caution Guide for Systematic Reviewers", 21^st International Conference on Evaluation and Assessment in Software Engineering (EASE), to be held in Karlskrona, Sweden. (Accepted) [Access Article Preprint]

K. Singh, P. Singh and K. Kumar, "Fuzzy-based User Behavior Characterization to
Detect HTTP-GET Flood Attacks ", International Journal of Intelligent Systems and Applications, Vol. 4, pp. 29-40, 2018. [Access Article]

K. Singh, K. Kumar and A. Bhandari, "Classification and State of Art of IP Traceback Techniques for DDoS Defense", in the Proceedings of the International Conference on Advances in Recent Technologies in Communication and Computing, pp. 36-44, 2013. [Access Article]

Amit Kumar dogra, Harkomal Singh and Paramvir Singh (2017): Execution Trace Streaming based Real Time Collection of Dynamic Metrics using PaaS, 8th Workshop on Emerging Trends in Software Metrics (WETSoM) collocated with 39th IEEE International Conference on Software Engineering (ICSE 2017), to be held in Buenos Aires, Argentina from May 20-28, 2017. (Accepted) [Access Article Preprint]

Shruti Aggarwal and Paramvir Singh (2018): Cuckoo, Bat and Krill Herd based k-means++ clustering algorithms, Cluster Compute - The Journal of Networks Software Tools and Applications, Springer, February, 2018 (DOI: 10.1007/s10586-018-2262-4)[Access Article]
Shruti Aggarwal and Paramvir Singh (2018): Hybridized nature inspired cuckoo and krill herd based k-means++ clustering algorithms, International Journal of Electrical and Computer Engineering (IJECE), Institute of Advanced Engineering and Science (IAES), February, 2018
Shruti Aggarwal and Paramvir Singh (2018): Software fault prediction using hybrid swarm intelligent Cuckoo and Bat based k-means++ clustering technique, International Journal of Advanced Intelligence Paradigms, Inderscience, March, 2018

Veena Saini, Paramvir Singh and Ashish Sureka (2017): SEABED: An Open-Source Software Engineering Case Based Learning Database, 41st IEEE Computer Society Signature Conference on Computers, Software and Applications (COMPSAC 2017), to be held in Turin, Italy. (Accepted) [Access Article Preprint]

Saurabh Tiwari, Veena Saini, Paramvir Singh and Ashish Sureka (2018): A case study on the application of case-based learning in software testing, 11th Innovations in Software Engineering Conference (ISEC), Hyderabad, India. [Access Article]

Navdeep Singh and Paramvir Singh (2017): How Do Code Refactoring Activities Impact Software Developers’ Sentiments? – An Empirical Investigation into GitHub Commits , 24th Asia-Pacific Software Engineering Conference (APSEC), to be held at Nanjing, China. [Access Article Preprint]

"An Empirical Investigation into Code Smells Elimination Sequences for Energy Efficient Software", Accepted for APSEC 2016

Aabha Choudhary and Paramvir Singh (2016): Minimizing Refactoring Effort through Prioritization of Classes based on Historical, Architectural and Code Smell Information, International Workshop on Technical Debt Analytics (TDA) collocated with Asia Pacific Software Engineering Conference (APSEC-2016), Hamilton, New Zealand, Dec 6 - 9, 2016. [Access Article Preprint] [Access Article]

Sarishty Gupta and Paramvir Singh (2017): Comprehending Scenario-level Software Evolution using Calling Context Trees, 16th International Conference on Information Technology (ICIT), to be held in Orissa, India. [Access Preprint]

C M Kamalpriya and Paramvir Singh (2017): Enhancing Program Dependency Graph based Clone Detection using Approximate Subgraph Matching, International Workshop on Software Clones (IWSC) collocated with 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2017), Klagenfurt, Austria from Feb 21-24, 2017. [Access Article Preprint] [Access Article]

S. Sarvari, P. Singh and G. Sikka, "Efficient and Scalable Collection of Dynamic Metrics using MapReduce", in Proceedings of the Asia-Pacific Software Engineering Conference, pp. 127-134, 2015. [Access Article]

M. Bishnoi and P. Singh, "Modularizing Software Systems using PSO optimized hierarchical clustering", in Proceedings of the International Conference on Computational Techniques in Information and Communication Technologies, pp. 659-664, 2016. [Access Article]

P. Yadav and P. Singh, "Comparative performance analysis of calling context profiling data structures", International Journal of System Assurance Engineering and Management, pp. 1-16, 2016. [Access Article]

G. Kour and P. Singh, "Using Lehman's laws to validate the software evolution of agile projects", in Proceedings of the International Conference on Computational Techniques in Information and Communication Technologies, pp. 90-96, 2016. [Access Article]